Optimization analysis of cultural dissemination path of Jingzhou Flower Drum Opera based on big data and artificial intelligence

In recent years, with the rapid advancement of big data and artificial intelligence (AI) technology, the dissemination of traditional culture has ushered in unprecedented new ways and opportunities. Jingzhou Flower Drum Opera, with its rich artistic expression and profound cultural heritage, occupies a key position in the local cultural ecology. However, with the acceleration of modernization and diversification of entertainment, Jingzhou Flower Drum Opera is facing challenges such as aging audiences and limited dissemination channels, making protection and inheritance work urgent. In view of this, this article focuses on exploring the application of big data and AI technology in optimizing the cultural dissemination path of Jingzhou Huagu Opera. At the same time, this article innovatively proposes a solution: using deep learning (DL) technology to construct user profiles and implement personalized recommendation systems. The system relies on big data analysis to accurately capture user interest characteristics, achieve intelligent matching and personalized dissemination of content, and significantly improve the dissemination efficiency and audience coverage of Jingzhou Flower Drum Opera. Experimental data shows that this strategy not only significantly increases the participation enthusiasm and satisfaction of the target audience, but also opens up a feasible path for the inheritance and development of traditional culture in the new era.